Steps Towards Modeling and Querying Based on Linguistic Fuzzy Graph Database
DOI:
https://doi.org/10.4108/eetcasa.v8i1.2661Keywords:
Fuzzy logic, Linguistic variable, Fuzzy graph, Graph databaseAbstract
In this paper, we introduce a method for computing with words on linguistic fuzzy graph database (LGD). Computation consists of two processes: Modeling and Querying. The former models LGD as a fuzzy graph whose nodes contain linguistic data table and the later queries linguistic data from node’s data tables.
References
Arnaud Castelltort and Anne Laurent. Representing history in graph-oriented nosql databases: A ver-sioning system. IEEE, 2013. DOI: https://doi.org/10.1109/ICDIM.2013.6694022
Mabel. Frias, Filiberto Yaima, Gonzalo Nápoles, Koen. Vahoof, and Rafael. Bello. Fuzzy cognitive maps reasoning with words: An ordinal approach. In ISFUROS, 2017. DOI: https://doi.org/10.1007/978-3-030-02837-4_16
Michael Glykas. Fuzzy Cognitive Maps, Advances in Theory, Tools and Applications. Springer, 2010. DOI: https://doi.org/10.1007/978-3-642-03220-2
Nguyen Van Han and Phan Cong Vinh. Toward computing linguistic fuzzy graphs and applying to illegal immigration problem. EAI Endorsed Trans. Context-aware Syst. & Appl, 7(22):166361, 2020. DOI: https://doi.org/10.4108/eai.24-9-2020.166361
Nguyen Cat Ho, Tran Thai Son, Tran Dinh Khang, and Le Xuan Viet. Fuzziness measure, quantified semantic mapping and interpolative method of approximate reasoning in medical expert systems. Journal of Computer Science and Cybernetics, 18(3):237–252, 2002.
Nguyen Cat Ho and W.Wechler. Hedge algebras: An algebraic approach to structure of sets of linguistic truth values. Fuzzy Sets and Systems, 35(3):281–293, 1990. DOI: https://doi.org/10.1016/0165-0114(90)90002-N
B. Kosko. Fuzzy cognitive mpas. Internation Journal of Man-Machine Studies, 24:65–75, 1986. DOI: https://doi.org/10.1016/S0020-7373(86)80040-2
L.A.Zadeh. The concept of a linguistic variable and its applications to approximate reasoning. Information Sciences, 8(3):199–249, 1975. DOI: https://doi.org/10.1016/0020-0255(75)90036-5
L.A.Zadeh. Fuzzy-set-theoretic interpretation of linguistic hedges. Journal of Cybernetics, 2:4–34, 1977. DOI: https://doi.org/10.1080/01969727208542910
L.A.Zadeh. Computing with words - Principal Concepts and Ideas. Studies in Fuzziness and Soft Computing. Springer, 2012. DOI: https://doi.org/10.1007/978-3-642-27473-2
E. H. Mmdani. Application of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Transactions on Computers, C-26(12):1182–1191, 1977. DOI: https://doi.org/10.1109/TC.1977.1674779
J.N. Mordeson and P.S. Nair. Fuzzy Graphs and Fuzzy Hypergraphs. Physica-Verlag, Heidelberg, 2000. DOI: https://doi.org/10.1007/978-3-7908-1854-3
John N. Mordeson and Sunil Mathew. Advanced Topics in Fuzzy Graph Theory. Springer Nature Switzeland AG, 2019. DOI: https://doi.org/10.1007/978-3-030-04215-8
]Elpiniki I. Papageorgiou. Fuzzy Cognitive Maps for Applied Science and Engineering From Fundamentals to Extensions and Learning Algorithms. Springer-Verlag Berlin Heidelberg, 2014. DOI: https://doi.org/10.1007/978-3-642-39739-4
Olivier Pivert. NoSQL Data Models: Trends and Challenges. Kindle Edition, 2018. DOI: https://doi.org/10.1002/9781119528227
A Rosenfeld. Fuzzy graphs. Fuzzy Sets and Their Applications, pages 77–95, 1975. DOI: https://doi.org/10.1016/B978-0-12-775260-0.50008-6
Lotti A. Zadeh and Janusz Kacprzyk. Computing with Word in Information Intelligent System 1. Springer-Verlag BBerlin Heidelberg GmbH, 1999. DOI: https://doi.org/10.1007/978-3-7908-1873-4
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